Duration
Exposure on Business Intelligence Technologies with Existing Business Process
1 day
What You will Learn
- Get familiar with essential concepts of Data Science, Artificial Intelligence, and Machine Learning
- Practically understand how to map a business problem in your organization into an analytics solution
- Explore the AI practical use cases and how it can boost business performance
- Learn how to evaluate Analytics and AI solutions and the impact they could have on your business
- Learn how to build the in-house data science team in your organization
- Know what kind of training or skills do people need to build a successful data science team
- Know the concepts and applications of some advanced topics in data science like deep learning, block chain, and further related topics.
Outline
- 1. Introduction to AI
- What managers should know about Data Science(DS), Artificial Intelligence (AI), and Machine Learning (ML)
- Data vs. Information vs. Actionable Insights
- Exploratory Analytics: Concept, Usage, and Techniques
- Predictive Analytics: Concept, Usage, and Techniques
- Prescriptive Analytics: Concept, Usage, and Techniques
- Recommender Systems
- How to differentiate the Data Scientists, Data Analysts, and Data Engineers?
- What is Data Democratization?
- 2. Success Stories: AI for Business Improvement
- Analytics War Rooms: How interactive dashboards help managers making data driven decisions?
- Process Mining: How can detect process bottlenecks in your organization and improve your business performance?
- Market Basket Analysis: How can predict the purchasing behaviour of your customer?
- Social Media Analytics: How your customers talk about your brand in social media?
- Machine Learning: How we can predict the future situation of your business?
- Organizational Network Analysis: Who are main influencers in your organization?
- Deep Learning: How Artificial Neural Networks can improve the business?
- Blockchain: How big companies applied blockchain in their business?
- Analytics Skill Assessment: How to have an intelligent training plan to upskill your data analytics team?
- 3. Bringing AI to your Organization
- How to ask a right questions in a data science project?
- How to prepare the right data for your data analytics project?
- As a manager, How to guide your data science teams to success?
- The whole pipeline of a data science project
- The iterative nature of data analytics projects
- How to identify the project objectives in your organization using SMART methodology?
- 4. Introduction to Advanced Topics and Industry 4.0
- How machine learning works?
- How to measure the accuracy of machine learning solution?
- What is deep learning? When to use it?
- Big Data and its applications
- How Block Chain works?
- An introduction to Industry 4.0
- 9 pillars of IR 4.0
- An example of augmented reality
- How to get prepared for IR 4.0
- 5. Plan a Real Analytics Project for Your Business
- Domain study and identifying the business problem
- Identifying your analytics project objective using the S.M.A.R.T method.
- What data you have or need to prepare?
- Talent Management: how to build your analytics team?
- Analytics project planning
- Mapping your business problem into analytics solution
- What elements you need in your Analytics War Room?
Programme scope, delivery arrangements and suitability are confirmed during enquiry.